Machine Learning

MACHINE LEARNING

THE PROBLEM

Business dynamics have changed towards personalising services/products based consumer behaviour. As competition increases, customers can be more specific about products and services that address their individual needs.

Flexible terms and a densely competitive market means that customers are liquid and swap suppliers regularly. A lot of the time the business is unaware that the customer is unhappy until the customer has already left for another. More resources must then be spent in order to gain new customers, replacing those that have left, just to stay at a 0% net growth.

What can the business do? It could employ hundreds of customer service agents to constantly report on and survey the customer database, looking for any abnormal behaviour that may indicate the customer is unhappy and resolve these problems before they become a turning point. However â€“ this manual approach could be very expensive!

THE SOLUTION

Machine Learning systems can use business databases to continually learn customer data patterns (such as feedback in case notes, phone calls, overdue payments, etc) and smartly notify when the there is a change in a given pattern. This helps the business to be pro active in reaching out to its customers and mitigating the risk of the customer leaving to a competitor. The machine learning techniques can also be programmed to identify pain points in a business process and help make quick wins/improvements that would result in the customer having a solid experience interacting with the business

HOW DOES IT WORK?

CREATE DATA MODEL

Extraction & processing of data through numerous algoriths to from a viable data model

DATA CATEGORIZATION

Identify data points in the business & categorize them into segments & subsegments

PREDICTION

Train data model to start analysing based on events & trigger points

WHAT IS THE SOLUTION CAPABLE OF?

Our solution is a configurable AI tool that has many smart learning techniques to assist business in many ways. We extract higher dimension data from regular CRM systems so that you can make better decisions at lower costs. Here are a few ways you can utilise this:

behaviour

Understanding User Behaviour

warning

Alerting High Risk Customers

Ð°lgorithm

Complex Learning Algorithms

Identify issues in process and operations. Increased business efficiency will always result in customers having an optimal user experience with the business

analytics

Business PerformanceEvaluation

Identify issues in process and operations. Increased business efficiency will always result in customers having an optimal user experience with the business

Identify issues in process and operations. Increased business efficiency will always result in customers having an optimal user experience with the business

Identify issues in process and operations. Increased business efficiency will always result in customers having an optimal user experience with the business